Credit Risk Modeling Course
This course provides comprehensive training in credit risk modeling, covering data preparation, model building with logistic regression and tree-based methods, validation, scorecard design, and production implementation to create robust credit risk assessment systems.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Credit Risk Modeling Course teaches you how to define default, align models with business goals and KPIs, and meet regulatory and compliance standards. You will learn data inventory, feature engineering, cleaning, and leakage control, then build and validate models using logistic regression, WOE, and tree-based methods. Finally, you design scorecards, pricing, decision rules, and monitoring for robust, production-ready credit models.
Elevify advantages
Develop skills
- Design credit risk datasets: build predictive, stable loan features fast.
- Clean and prep credit data: fix missing values, outliers, and leakage risks.
- Build and tune PD models: logistic and tree ensembles for real loan portfolios.
- Evaluate and calibrate scores: AUC, KS, PSI, and cost-based cutoffs in practice.
- Operationalize scorecards: pricing, limits, decisions, and monitoring in production.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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